Stable Diffusion
Contents
Stable Diffusion#
Note
Install ekorpkit package first.
Set logging level to Warning, if you don’t want to see verbose logging.
If you run this notebook in Colab, set Hardware accelerator to GPU.
!pip install ekorpkit[art] exit()
Prepare Environment#
%config InlineBackend.figure_format='retina'
%load_ext autotime
from ekorpkit import eKonf
eKonf.setLogger("WARNING")
eKonf.set_cuda(device=0)
print("version:", eKonf.__version__)
is_colab = eKonf.is_colab()
print("is colab?", is_colab)
if is_colab:
eKonf.mount_google_drive()
project_dir = eKonf.set_workspace(workspace="/content/drive/MyDrive/workspace/", project="ekorpkit-book")
print("project_dir:", project_dir)
INFO:ekorpkit.base:Setting cuda device to ['A100-SXM4-40GB (id:0)']
INFO:ekorpkit.base:Setting EKORPKIT_WORKSPACE_ROOT to /content/drive/MyDrive/workspace/
INFO:ekorpkit.base:Setting EKORPKIT_PROJECT to ekorpkit-book
INFO:ekorpkit.base:Loaded .env from /workspace/projects/ekorpkit-book/config/.env
version: 0.1.40.post0.dev8
is colab? False
project_dir: /content/drive/MyDrive/workspace/projects/ekorpkit-book
time: 2.16 s (started: 2022-11-09 04:41:54 +00:00)
Create a stable diffusion instance#
from ekorpkit.models.art.stable import StableDiffusion
sd = StableDiffusion()
INFO:ekorpkit.base:Loaded .env from /workspace/projects/ekorpkit-book/config/.env
time: 4.86 s (started: 2022-11-09 04:41:57 +00:00)
Generate images#
eKonf.setLogger("INFO")
sd.verbose = True
text_prompts = "people looking out the lonely city street from windows of buildings in a Edward Hopper style. detailed, romantic, enchanting, trending on artstation."
batch_name = "hopper-street"
sd.config.collage.ncols = 2
results = sd.imagine(
text_prompts,
batch_name=batch_name,
num_samples=4,
guidance_scale=9,
width=800,
height=400,
num_inference_steps=150,
)
Prompt: people looking out the lonely city street from windows of buildings in a Edward Hopper style. detailed, romantic, enchanting, trending on artstation.
time: 1min 25s (started: 2022-11-09 04:42:01 +00:00)
Inpaint images#
base_url = "https://github.com/entelecheia/ekorpkit-book/raw/main/assets/figs"
init_image_path = f"{base_url}/chu-horse.png"
mask_image_path = f"{base_url}/chu-horse-masking-rough.png"
mask_image_exact_path = f"{base_url}/chu-horse-masking-exact.png"
init_image = eKonf.load_image(init_image_path)
mask_image = eKonf.load_image(mask_image_path)
mask_image_exact = eKonf.load_image(mask_image_exact_path)
sd.collage([mask_image, init_image, mask_image_exact])
Prompt: people looking out the lonely city street from windows of buildings in a Edward Hopper style. detailed, romantic, enchanting, trending on artstation.
time: 2.6 s (started: 2022-11-09 04:43:26 +00:00)
prompt = "a golden statue of an eagle with clouds, colorful painting by Tanya Hern, mural on the roof, digital art, artwork, beautiful, colorful, visual art on landscape, surrealism, watercolor, vivid by stunning"
batch_name = "inpaint-halla"
sd.config.collage.ncols = 3
results = sd.imagine(
prompt,
batch_name=batch_name,
mode="inpaint",
init_image=init_image_path,
mask_image=mask_image_path,
num_samples=3,
num_images_per_prompt=1,
inpaint_strength=10,
num_inference_steps=100,
)
Prompt: a golden statue of an eagle with clouds, colorful painting by Tanya Hern, mural on the roof, digital art, artwork, beautiful, colorful, visual art on landscape, surrealism, watercolor, vivid by stunning
time: 1min 15s (started: 2022-11-09 02:25:19 +00:00)
Stitch images#
text_prompts = "people looking out the lonely city street from windows of buildings in a Edward Hopper style. detailed, romantic, enchanting, trending on artstation."
batch_name = "city-stitch"
results = sd.imagine(
text_prompts,
mode="stitch",
batch_name=batch_name,
num_samples=6,
num_images_per_prompt=2,
guidance_scale=7,
inpaint_strength=10,
)
INFO:ekorpkit.models.art.stable: >> elapsed time to imagine: 0:03:12.927015
time: 3min 12s (started: 2022-11-09 04:43:29 +00:00)
To view the panorama, upload the image to renderstuff.
Collage Images#
sd.collage(batch_name="lecture", batch_num=9, ncols=2, collage_width=800)
Prompt: examining documents and detailed white background, elegant detailed digital painting, concept art, matte, sharp focus, 4k ultra hd, illustration, magical, unreal engine, octane render, cinematic lighting, wide angle establishing shot, extremely high detail
time: 1.99 s (started: 2022-11-08 09:54:01 +00:00)
Show Configuration#
sd.show_config(batch_name="lecture", batch_num=12)
INFO:ekorpkit.batch:Using existing path: /content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen
INFO:ekorpkit.batch:Merging config with args: {}
INFO:ekorpkit.batch:Batch name: lecture, Batch num: 12
{'_target_': 'ekorpkit.models.art.stable.StableDiffusion',
'autoload': True,
'batch': {'batch_name': 'lecture',
'batch_num': 12,
'batch_run_pairs': None,
'batch_run_params': None,
'clear_output': True,
'display_collage': True,
'max_display_image_width': 1000,
'num_images_per_prompt': 1,
'num_samples': 1,
'random_seed': True,
'resume_latest': False,
'resume_run': False,
'run_to_resume': 'latest',
'save_collage': True,
'seed': 2175210533,
'set_seed': 'random_seed'},
'collage': {'bg_color': 'black',
'clear_output': True,
'collage_width': 1200,
'cols': -1,
'crop_to_min_size': False,
'fontsize': 12,
'max_images': 6,
'ncols': 3,
'padding': 5,
'show_filename': False,
'show_prompt': True},
'device': 'cuda:7',
'hf_user_access_token': None,
'imagine': {'clear_output': True,
'display_collage': True,
'display_image': True,
'guidance_scale': 7,
'height': 400,
'increase_seed_by': 1,
'init_image': None,
'inpaint_strength': 10,
'make_collage': True,
'mask_image': None,
'mode': 'stitch',
'num_images_per_prompt': 2,
'num_inference_steps': 150,
'num_samples': 6,
'save_collage': True,
'save_image': True,
'save_image_config': True,
'seed': None,
'text_prompts': 'a living tiger inside a gorgeous cave in a '
'futuristic Jeju island, relaxing night, '
'watercolour on the ceiling, glowing on glass, '
'light art, dark, dark, gorgeous, dark, bright in '
'an abandoned village in a futuristic alien '
'nightscape',
'width': 800},
'model': {'generate': {'device': 'cuda:6',
'name': 'CompVis/stable-diffusion-v1-4',
'pipeline': 'StableDiffusionPipeline',
'pretrained_model_name_or_path': 'CompVis/stable-diffusion-v1-4',
'revision': 'fp16',
'use_auth_token': True},
'inpaint': {'device': 'cuda:5',
'name': 'runwayml/stable-diffusion-inpainting',
'pipeline': 'StableDiffusionInpaintPipeline',
'pretrained_model_name_or_path': 'runwayml/stable-diffusion-inpainting',
'revision': 'fp16',
'use_auth_token': True}},
'module': {'library_dir': '/content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen/libs',
'modules': None},
'name': 'stable-diffusion',
'path': {'batch_dir': '/content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen/outputs/stable-diffusion/demo',
'batch_name': 'demo',
'cache_dir': '/content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen/cache',
'library_dir': '/content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen/libs',
'model_dir': '/content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen/models',
'name': 'disco-imagen',
'output_dir': '/content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen/outputs/stable-diffusion',
'root': '/content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen',
'tmp_dir': '/content/drive/MyDrive/workspace/projects/ekorpkit-book/disco-imagen/tmp',
'verbose': False},
'verbose': False}
time: 70 ms (started: 2022-11-08 09:58:20 +00:00)